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    1. explicit link between Gaussian fields and Gaussian Markov random fields: the (...)

      http://duke.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bb9MwFLYYvOyFO1oYTEZCvIUlcRrbaJq0dTfxwGVlmgChIydx1qKuLcs6jZ_DP-UcOwkrYmIPbhPFt9jHx9-xTz4z9lIbnLW0QDNVChumOtahqUQZlmWlIhxOmclpveNYvf2cfDxUe_3GiaZu3CqdX6DbxUeAlI_tehonGcIEtMyXVORFd3BV3Qr_cZUOcXr8y12H9IBWmWrIOiMpZcty1MxBS5WZIjKlRr1snRLJQ9LU2EiVP91iAX7eObMzW3TUoouo1k1Le_fYh_aFnE_2a--T4lcnFpy1W9bH_777fXa3gah8y8vUA3bLTh6yZUKlntT5Efu1NeH2kna-R-ectoB54-7F9828ps8y-cZw0znH1Rvrw01uJuXCI_pCaHrB8bXL6Sn_E_ENRzzKsXLF0FBZfEaSjZVpz3FxN_aH5yfnLSE6_0rLyXxnVBdUxnTy7TE72tv91D8Im7MewkIhiArLOFeoKjJV2p4uq0KXUiS6iFOTSR1FRVTpxNi4ynRPayukRByKt3RhkkLFYoXxPMvSqhR5niQ2tbkwVuXOgCooukoCJttuh6JhQKeDOMawYAlJIIEBEhhwAgOXAYu7lDPPAnKDNCsoWWBOUFnD0SAhKj8i2Et6WJFXTty6vLDRycFO9uD43T4ciJ2deFsNIA3YEycQXcRWGgK2tiCgXQREawIhoQrYaiux0GilGhSiOWKgxKcvuqeoTmiPyEzsdF5DnElE0FIKETB-TRxNHGm6l8qA9d1Y6ErPx-b79Kyuc7gAYaTAn58YXLMIM8KQYpjRfyIg1QqG56cB2_UjqcuGKM_H8xmGHAPUFozRKspMBtjlFhMWFSBwTkFjR2tZJmjHlAH78o98vBULDXXWsMlvdmVN_IaZZ26U37j74XAw2Marp9d14Spb9vsT5K_4jN0-P5vb5_5IkjW0897315ye-w2iG56k

      by Lindström, Johan; Lindgren, Finn and Rue, Håvard

      Journal Of The Royal Statistical Society. Series B, Statistical Methodology, Volume 73, Issue 4, pp. 423 - 498

      Journal Article : Full Text Online

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    2. Climate Field Completion via Markov Random Fields

      http://duke.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELf4eOGFb0S3MfkBIfGQdraT2EbTpC5ttE0MutJqgpfIjh1t0mimLuzv585JOwoSghdHdi6JYvt8v_Od7wh5qw1ILS1ATZXCR7FmOjKVcJFzldoDdkqNxf2Oc3XylZ9NVZ7dhcn5zYIPsm1wkn08jkYRnrVRLO6jpiNAqKBifj5eGwwwznoAjDoGBk-StUXyzxdsSKDWCXFzIeaddMmfkPnqjE5wre63riXtJsOGz_UvwRv_4Reekscd3KTDdn48I_f84jnpnQJSrpdhQ52-o9nVJcDWUHtBlm3N0_2Lgxy92_YHFwcUVw2M0l0v6O2lwXt4xqe-pVOzcPV3GihvkPQDHd6ZxGlTUwCYFJa3bDqfxf2Uzjzg9DaOMx2ZBmRo85LM8_EsO4q6vAxRKUTSRMxoB3qcsamVpbJMVJw5s6eVBjDESs3LsuKi9EyllXUSdCZmpfM8VZXTDjj-NaE2TePKCWs59zEo9MYrG5SdUkoARbxHBqtBKsouWjkmzbgqgtYikwI7tRgVTBfYqQXrkffrJ67bSB1_oX0Vxn1NyGWwSMoe2VlNhKJj5psCICCmxYml3PqPb2yTRxz9X4Jz5A550Cx_-Ddtyold8nA4yyZfdsn9w3EGtcPxp8kUrkfZcf4NWk_ZGZb8cygnUE4SbIcZ_xMFLvBV

      by Kennedy, John; Morice, Colin; Rajaratnam, Bala; Vaccaro, Adam; Emile-Geay, Julien; Verna, Resherle and Guillot, Dominque

      Journal Of Climate, Volume 34, Issue 10, pp. 4169 - 4188

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    3. Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and (...)

      http://duke.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV3fb9MwED5RJBA8MFZAFEbxAzB4yIrjJHakaVI1Fn5IqDCYBk-WEztbpbVFZNvfz13sTI3EtBc_VF_duGef75zP3wG8yg3uWrnANFUKFyU5zyNTCxtZW6v3uJwyU9J5x7H68jv-fqiK_UCiaQKtsuUFtm_xMUAqz9wkxggwFZkcwEDx1OvSrynrZr5MgUCHkiW_gjIjZgITqiNC7C21wyXVUVvbeYL_vePlSZuOjdj3yCJsM8UGfOsesOVY73iOiT9t6JGvOxXHG8fyEB6EkJNN_RzZhFtuOYS7HeN9CBtdZQcWFvoQ7q_JFA5hM3zesLdBpfrdI_j60Vw0dAOT7Z7u0Y2f1SU7NEu7WrCCWHHN7uR0j-Gw2Yc5uiaMzdkM3dMi3Ptkl3PDfswXoXrYYzgqDn7uf4pCbYaowgToPIrzTCbWOSppRbeQVO5izHy4SUrJbYpeoJKljCte5anJbN1mbgqDAcuxA5uIp8DKLEtqK8oyjl2CSb1xqmwTnkpKDIziEUSdwXQVFMupcMaZpswFDazJwJoMrMnAI9i-wv_xWh3XIl-T_XUo9IlNQ0chzQn9c3qKXgyjRC74CF62OBLKWBITxwN6iO2AqFf4bJUJtxpWS0fCWj3kmx7yxBvsf8CtHhDXe9XvJ0zaGwf5pJ19V7Bu6uEPdJNcB4_VaDSkSonkJ59d973ncA87z_0B1BbcPv974V74IhpjGHyezqg9mFI7K8btKh3T8dnRPyOkNN0

      by Song, Eunhye; Nelson, Barry L.; Staum, Jeremy and Salemi, Peter L.

      Operations Research, Volume 67, Issue 1, pp. 250 - 266

      Journal Article : Full Text Online

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    1. Markov random field modeling in image analysis

      https://find.library.duke.edu/catalog/DUKE004160017

      Stan Z. Li.

      Book

      Check Holdings for this item's availability Perkins & Bostock Library, TA1637 .L5 2009 

      cover thumbnail

    2. Markov random field modeling in image analysis

      https://find.library.duke.edu/catalog/DUKE003025040

      Stan Z. Li.

      Book

      Check Holdings for this item's availability Perkins & Bostock Library, TA1637 .L5 2001 

      cover thumbnail

    3. Markov random field priors for univariate density estimation

      https://find.library.duke.edu/catalog/DUKE002055209

      Robert L. Wolpert, Michael Lavine.

      Book : View Online

      Check Holdings for this item's availability University Archives, 519.54 D611, P214x, DP #95-08 c.1

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    1. Markov random fields at multiple resolutions and an ANOVA model for dependent random measures

      https://find.library.duke.edu/catalog/DUKE003068816

      by Maria De Iorio.

      Archival and manuscript material, Book

      Check Holdings for this item's availability Library Service Center, University Archives

    2. MCMC methods for random field and latent factor models in finance

      https://find.library.duke.edu/catalog/DUKE003398751

      by C. Alan Bester.

      Archival and manuscript material

      Check Holdings for this item's availability University Archives, Library Service Center

    3. Dirichlet process mixture modeling : hidden Markov mixture models and multi-task compressive (...)

      https://find.library.duke.edu/catalog/DUKE004315872

      Archival and manuscript material

      This item is currently Available Library Service Center, University Archives

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